The Impact of Region-of-Interest Selection on MRI T <sub>2</sub> * Quantification of Hepatic Iron Overload in Thalassemia Major

Accurate quantification of hepatic iron overload is essential for managing patients with thalassemia major to prevent severe complications such as liver and cardiac failure. Magnetic resonance imaging (MRI) T<sub>2</sub>* has emerged as the noninvasive gold standard for assessing tissue iron concentration. This study aimed to localize and validate MRI T<sub>2</sub>* measurement protocols and to evaluate the impact of region-of-interest (ROI) selection on iron overload classification in patients with thalassemia. A cohort of 39 patients with confirmed thalassemia from Imam Ali Hospital, Zahedan, underwent liver MRI with T<sub>2</sub>* imaging. The effect of ROI variation on T<sub>2</sub>* values and patient classification was analyzed. Validation was performed using healthy volunteers and iron phantoms with known concentrations. Statistical analyses compared results with those from hospital reports and from phantom and healthy subjects. ROI selection significantly affected T<sub>2</sub>* values, resulting in reclassification in 35.9% of patients. Phantom studies demonstrated a strong linear correlation (R<sup>2</sup> ≈ 0.98) between T<sub>2</sub>* values and iron concentration, confirming measurement accuracy. Healthy volunteers showed T<sub>2</sub>* values within normal ranges, consistent with published data. Discrepancies between hospital reports and study findings highlighted the necessity for standardized imaging protocols and automated data processing to reduce variability. ROI selection critically affects hepatic T<sub>2</sub>* measurements and the clinical classification of iron overload in patients with thalassemia. Standardized protocols, rigorous equipment calibration, and localized analytical tools are essential for enhancing diagnostic precision and patient management. This approach reduces dependence on external services and supports the provision of sustainable, high-quality care for patients with thalassemia.

Authors

Institutions

Publication Details

Journal
Hemoglobin
Published
2026-01-02
DOI
https://doi.org/10.1080/03630269.2025.2609992
Primary Topic
Hemoglobinopathies and Related Disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Impact of Region-of-Interest Selection on MRI T 2 * Quantification of Hepatic Iron Overload in Thalassemia Major

Bahareh Taghavi Shahraki, Mahsa Valizadeh, Pegah Lotfi, Farzaneh Ghorbani et al.
Hemoglobin
Hemoglobinopathies and Related Disorders
article

The Impact of Region-of-Interest Selection on MRI T 2 * Quantification of Hepatic Iron Overload in Thalassemia Major

Bahareh Taghavi Shahraki, Mahsa Valizadeh, Pegah Lotfi, Farzaneh Ghorbani, Alireza Montazerabadi
article en

Abstract

Accurate quantification of hepatic iron overload is essential for managing patients with thalassemia major to prevent severe complications such as liver and cardiac failure. Magnetic resonance imaging (MRI) T<sub>2</sub>* has emerged as the noninvasive gold standard for assessing tissue iron concentration. This study aimed to localize and validate MRI T<sub>2</sub>* measurement protocols and to evaluate the impact of region-of-interest (ROI) selection on iron overload classification in patients with thalassemia. A cohort of 39 patients with confirmed thalassemia from Imam Ali Hospital, Zahedan, underwent liver MRI with T<sub>2</sub>* imaging. The effect of ROI variation on T<sub>2</sub>* values and patient classification was analyzed. Validation was performed using healthy volunteers and iron phantoms with known concentrations. Statistical analyses compared results with those from hospital reports and from phantom and healthy subjects. ROI selection significantly affected T<sub>2</sub>* values, resulting in reclassification in 35.9% of patients. Phantom studies demonstrated a strong linear correlation (R<sup>2</sup> ≈ 0.98) between T<sub>2</sub>* values and iron concentration, confirming measurement accuracy. Healthy volunteers showed T<sub>2</sub>* values within normal ranges, consistent with published data. Discrepancies between hospital reports and study findings highlighted the necessity for standardized imaging protocols and automated data processing to reduce variability. ROI selection critically affects hepatic T<sub>2</sub>* measurements and the clinical classification of iron overload in patients with thalassemia. Standardized protocols, rigorous equipment calibration, and localized analytical tools are essential for enhancing diagnostic precision and patient management. This approach reduces dependence on external services and supports the provision of sustainable, high-quality care for patients with thalassemia.

HemoglobinVol. 50(1)
Mashhad University of Medical Sciences (IR), Zabol University of Medical Sciences (IR)
Openalex Percentile: Top 96%
Hemoglobinopathies and Related Disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.